Abstract
While the development of the genetic algorithm (GA) dates from the 1960s, this family of algorithms was popularised by Holland in the 1970s [281]. The GA has been applied in two primary areas of research: optimisation, in which GAs represent a population-based optimisation algorithm, and the study of adaptation in complex systems, wherein the evolution of a population of adapting entities is simulated over time by means of a pseudonatural selection process using differential-fitness selection, and pseudogenetic operators to induce variation in the population.
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© 2015 Springer-Verlag Berlin Heidelberg
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Brabazon, A., O’Neill, M., McGarraghy, S. (2015). Genetic Algorithm. In: Natural Computing Algorithms. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43631-8_3
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DOI: https://doi.org/10.1007/978-3-662-43631-8_3
Publisher Name: Springer, Berlin, Heidelberg
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